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» Mining interesting sets and rules in relational databases
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CINQ
2004
Springer
151views Database» more  CINQ 2004»
13 years 11 months ago
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
Marco Botta, Jean-François Boulicaut, Cyril...
DSS
2007
127views more  DSS 2007»
13 years 7 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
LWA
2004
13 years 9 months ago
Efficient Frequent Pattern Mining in Relational Databases
Data mining on large relational databases has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind ...
Xuequn Shang, Kai-Uwe Sattler, Ingolf Geist
BMCBI
2005
152views more  BMCBI 2005»
13 years 7 months ago
GeneKeyDB: A lightweight, gene-centric, relational database to support data mining environments
Background: The analysis of biological data is greatly enhanced by existing or emerging databases. Most existing databases, with few exceptions are not designed to easily support ...
S. A. Kirov, X. Peng, E. Baker, D. Schmoyer, B. Zh...
DEXAW
2008
IEEE
121views Database» more  DEXAW 2008»
13 years 9 months ago
Mining Topological Relations from the Web
Topological relations between geographic regions are of interest in many applications. When the exact boundaries of regions are not available, such relations can be established by...
Steven Schockaert, Philip D. Smart, Alia I. Abdelm...